代码搜索：factor
找到约 6,651 项符合「factor」的源代码
代码结果 6,651
www.eeworm.com/read/251522/4418854
m ffa.m
% function [L,Ph,LL]=ffa(X,K,cyc,tol);
%
% Fast Maximum Likelihood Factor Analysis using EM
%
% X - data matrix
% K - number of factors
% cyc - maximum number of cycles of EM (default 100)
% tol - te
www.eeworm.com/read/251522/4418864
m fg3.m
% make a factor graph corresponding to an HMM with Gaussian outputs, where we absorb the
% evidence up front
seed = 1;
rand('state', seed);
randn('state', seed);
T = 3;
Q = 3;
O = 2;
cts_obs = 1;
www.eeworm.com/read/225759/4792552
m ffa.m
% function [L,Ph,LL]=ffa(X,K,cyc,tol);
%
% Fast Maximum Likelihood Factor Analysis using EM
%
% X - data matrix
% K - number of factors
% cyc - maximum number of cycles of EM (default 100)
% tol - te
www.eeworm.com/read/215485/4903444
m ffa.m
% function [L,Ph,LL]=ffa(X,K,cyc,tol);
%
% Fast Maximum Likelihood Factor Analysis using EM
%
% X - data matrix
% K - number of factors
% cyc - maximum number of cycles of EM (default 100)
% tol - te
www.eeworm.com/read/215485/4903460
m fg3.m
% make a factor graph corresponding to an HMM with Gaussian outputs, where we absorb the
% evidence up front
seed = 1;
rand('state', seed);
randn('state', seed);
T = 3;
Q = 3;
O = 2;
cts_obs = 1;
www.eeworm.com/read/199525/5076316
entries
8
dir
1124
https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk/regression-testing/tests/multi-factor-binptable
https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder
2006-11
www.eeworm.com/read/199525/5076340
entries
8
dir
1124
https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk/regression-testing/tests/nbest-multi-factor/truth
https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder
2006-
www.eeworm.com/read/199525/5076823
svn-base filter-phrase-table.pl.svn-base
#!/usr/bin/perl -w
#by Philipp Koehn, de-augmented by Evan Herbst
#filter a phrase table for a specific input corpus
#arguments: phrasetable_filename input_filename factor_index (0...)
#outputs to ph
www.eeworm.com/read/197905/5090890
m ffa.m
% function [L,Ph,LL]=ffa(X,K,cyc,tol);
%
% Fast Maximum Likelihood Factor Analysis using EM
%
% X - data matrix
% K - number of factors
% cyc - maximum number of cycles of EM (default 100)
% tol - te
www.eeworm.com/read/197905/5090906
m fg3.m
% make a factor graph corresponding to an HMM with Gaussian outputs, where we absorb the
% evidence up front
seed = 1;
rand('state', seed);
randn('state', seed);
T = 3;
Q = 3;
O = 2;
cts_obs = 1;